搜索资源列表
GPU_KLT.0.0-User-Manual
- This library implements the KLT Tracking algorithm [2004] for Feature Tracking in Video useful in computer vision tasks like object recognition, image indexing, tracking and structure from motion. This implementation uses programmable Graphics Hardwa
Image_Processing_Using_GPU
- Presentation on Image Processing with GPU
GPU_based_saliency_map
- GPU based saliency map generation and selective rendering paper.
gpufftw1.0
- 在GPU上实现FFT，本科毕设时的资料，用OPENGL实现。-GPU to achieve in the FFT, we completed the set up information at the time, using OPENGL achieve.
cvltonemap
- A GUI for High Dynamic Range Image Processing using OpenGL and GPU. By performing the algorithms on the graphics processing unit (GPU), this program can immediately display the results of the algorithm and parameter changes.
SiftGPU_V340
- SiftGPU is an implementation of SIFT [1] for GPU. SiftGPU processes pixels parallely to build Gaussian pyramids and detect DoG Keypoints. Based on GPU list generation, SiftGPU then uses a GPU/CPU mixed method to efficiently build compact keypoint lis
graphics_pipeline
- Implementation of GPU (Graphics Processing Unit) that rendered triangle based models. Our goal was to generate complex models with a movable camera. We wanted to be able to render complex images that consisted of hundreds to thousands of triangles. W
GPUGems1
- GPU Gems is a compilation of articles covering practical real-time graphics techniques arising from the research and practice of cutting-edge developers. It focuses on the programmable graphics pipeline available in todays graphics processing units (
GPUGems3
- GPU Gems is a cool toolbox of advanced graphics techniques. Novice programmers and graphics gurus alike will find the Gems practical, intriguing and useful.
GPU
- 世界 上 最先 进 的显 卡 诊 断程 序 -The world' s most advanced graphics diagnostic procedures
gpgpu_fluid
- GPU实现的流体，HLSL实现，适合初学者-gpgpu_fluid.zip
SnowAccumulation
- GPU实现的模拟雪花，适合初学者学习模仿-SnowAccumulation.zip
gpuqsortlib
- gpu 快速排序,利用gpu实现快速排序，是目前最有效率的一种-quick sort by gpu
RayTracing
- 有关CUDA应用的实例，可以查看CPU和GPU运算的差别。-Examples of applications related to CUDA, you can view the CPU and GPU computing the difference.
JpegEncodeGPU
- GPU加速jpeg图像编码，利用CUDA架构的GPU进行加速-GPU accelerating image compression using CUDA-enable GPU
OpenCL
- OpenCL详细说明，GPU编程，采用CUDA架构体系-OpenCL details specification, GPU programming
CUDAMC
- 基于cuda的均匀生物组织中光线追踪的程序，其计算效率相当好 需要nvidia显卡支持-ray trace in uniform tissue base on cuda/gpu
GPU_Programming_Guide_G80
- GPU programming for NVIDIA G80
FBO_Example2
- 基于硬件GPU编程的例子，将三维模型利用硬件截取成纹理图像重新传给cpu，实现纹理贴图的功能。-Hardware-based GPU programming examples, will be three-dimensional model into a texture image using the hardware re-passed the Interception of cpu, to achieve texture mapping function.
GPUGems
- First book of the GPU Gems series in .chm format to replace the .djvu scan floating around. You can search and everything. The CD accompanying the book can be downloaded from nvidia website (600meg): http://download.nvidia.com/developer/GPU_Gems/CD